【摘要】 针对现有降温除湿系统建模过程中存在的多场耦合求解难题，创新性地构建了基于热湿阻网络与传质传热驱动力模型。通过引入热质分离温度将传质驱动力转化为传热驱动力实现了热质解耦，理论推导构建液体干燥剂除湿多股流数学表达，解决了吸收除湿中传热传质相互耦合带来的非线性问题，并推导出具有明确物理意义的质传递阻抗(R_m)。该阻抗可精准量化传质效率，进而精准调控环境温湿度，揭示了潜热传递与质量输运的内在关联。利用新建立的能量流模型研究了除湿机湿空气与溶液的气液比、传热单元系数等系统性能参数对溶液除湿再生循环系统的效率和??影响。多目标优化表明系统性能评价指标系统的除湿效率，水热??，溶液冷??最优解值分别为86.57%、32.91 kW、5.40 kW。更多还原

【Abstract】 Aiming at the problem of multi field coupling in the modeling process of existing cooling and dehumidification systems, an innovative model based on thermal and humidity resistance network and mass and heat transfer driving force was constructed. By introducing a thermal mass separation temperature to convert the mass transfer driving force into a heat transfer driving force,thermal mass decoupling was achieved. A mathematical expression for the multi stream flow of liquid desiccant dehumidification was theoretically derived to solve the nonlinear problem caused by the coupling of heat and mass transfer in absorption dehumidification, and a mass transfer impedance(Rm) with clear physical significance was derived. This impedance can accurately quantify mass transfer efficiency, thereby precisely regulating environmental temperature and humidity, revealing the inherent relationship between latent heat transfer and mass transport. The newly established energy flow model was used to study the effects of system performance parameters such as the gas-liquid ratio and heat transfer unit coefficient of the dehumidifier’s humid air to solution on the efficiency and efficiency of the solution dehumidification regeneration cycle system. Multi objective optimization indicates that the optimal solution values for dehumidification efficiency, hydrothermal efficiency, and solution cooling efficiency of the system performance evaluation indicators are 86.57%,32.91 k W, and 5.40 k W, respectively.更多还原